Update app.py
Browse files
app.py
CHANGED
|
@@ -1,5 +1,3 @@
|
|
| 1 |
-
from IPython import get_ipython
|
| 2 |
-
from IPython.display import display
|
| 3 |
from transformers import SegformerImageProcessor, AutoModelForSemanticSegmentation
|
| 4 |
from PIL import Image
|
| 5 |
import requests
|
|
@@ -10,8 +8,7 @@ from torchvision import transforms
|
|
| 10 |
from transformers import SamModel, SamProcessor
|
| 11 |
from diffusers import AutoPipelineForInpainting
|
| 12 |
from diffusers.utils import load_image, make_image_grid
|
| 13 |
-
|
| 14 |
-
drive.mount('/content/drive')
|
| 15 |
|
| 16 |
|
| 17 |
def modify_image(image_url, prompt, mask_id=4):
|
|
@@ -62,7 +59,7 @@ def gradio_wrapper(image, prompt, choice):
|
|
| 62 |
demo = gr.Interface(
|
| 63 |
fn=gradio_wrapper,
|
| 64 |
inputs=[
|
| 65 |
-
gr.Image(type="filepath"),
|
| 66 |
gr.Textbox(label="Prompt"),
|
| 67 |
gr.Radio(["4", "5", "6"], label="Mask ID")
|
| 68 |
],
|
|
|
|
|
|
|
|
|
|
| 1 |
from transformers import SegformerImageProcessor, AutoModelForSemanticSegmentation
|
| 2 |
from PIL import Image
|
| 3 |
import requests
|
|
|
|
| 8 |
from transformers import SamModel, SamProcessor
|
| 9 |
from diffusers import AutoPipelineForInpainting
|
| 10 |
from diffusers.utils import load_image, make_image_grid
|
| 11 |
+
|
|
|
|
| 12 |
|
| 13 |
|
| 14 |
def modify_image(image_url, prompt, mask_id=4):
|
|
|
|
| 59 |
demo = gr.Interface(
|
| 60 |
fn=gradio_wrapper,
|
| 61 |
inputs=[
|
| 62 |
+
gr.Image(type="filepath"),
|
| 63 |
gr.Textbox(label="Prompt"),
|
| 64 |
gr.Radio(["4", "5", "6"], label="Mask ID")
|
| 65 |
],
|